A proposed numerical solution of a class of fuzzy quadratic programming problems

被引：0
|
作者：
Mazarei, Mohammad Mehdi [1 ]
Behroozpoor, Ali Asghar [1 ]
Kamyad, Ali Vahidian [2 ]
机构：
[1] Islamic Azad Univ, Bushehr Branch, Dept Sci, Bushehr, Iran
[2] Ferdowsi Univ Mashad, Dept Appl Math, Mashhad, Iran
来源：
2022 SECOND INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING AND HIGH PERFORMANCE COMPUTING (DCHPC) | 2022年
关键词：
Fuzzy; Quadratic programming problem; Piecewise linearization; DECISION-MAKING; OPTIMIZATION;
D O I：
10.1109/DCHPC55044.2022.9732131
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the real applied optimization problems, we usually face nonlinear fuzzy programming problems (FNLPPs). This paper focuses on a class of fuzzy quadratic programming problems (FQPPs) in which all of technical coefficients and constraint inequalities are fuzzy ones. Initially, some definitions of fuzzy mathematics are introduced and then, we discuss on fuzzy quadratic programming problems and introduce a new approach to find the approximate solution to these problems. Finally, we introduce some numerical examples to show the efficiency of the proposed approach.
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页码：98 / 103
页数：6
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